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Biological, physical, and chemical data collected from inshore and shelf surface waters in Alabama from 2009-07 to 2011-12 (NCEI Accession 0117507)


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            title:  Biological, physical, and chemical data collected from inshore and shelf surface waters in Alabama from 2009-07 to 2011-12 (NCEI Accession 0117507)
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                date:  2014-04-21
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                  Anchor:  NCEI Dataset ID gov.noaa.nodc:0117507
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                  Anchor:  NCEI Accession ID 0117507
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/person/details/4623 Mimi Tzeng
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1411 Dauphin Island Sea Lab (DISL)
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        abstract:  Quantifying the linkages between primary production and higher trophic levels is necessary to understand why particular regions can support high fisheries production. Modified dilution experiments were employed to characterize microbial communities in surface waters at four sites from within a bay to the shelf in the northern Gulf of Mexico (nGOM). Inshore surface waters were more variable than shelf surface waters due to the strong influence of river discharge. Phytoplankton (Chl a) and prokaryote biomass were both significantly higher inshore than on the shelf, with phytoplankton significantly higher than prokaryotes inshore. Virus and heterotrophic nanoflagellate abundances, however, did not differ between inshore and shelf waters. Samples were amended with nutrients (N + P) to examine the impact of nutrient limitation. Prokaryotes were nutrient limited in 14 (28%) of the experiments, while phytoplankton were nutrient limited in 26 (52%) of the experiments. When phytoplankton were nutrient limited, prokaryote growth rates were significantly altered. A similar impact on phytoplankton growth rates occurred when prokaryotes were nutrient limited, suggesting that the two groups are in competition for resources. Grazing was detected in the majority of experiments, while viral lysis was only detected in 24% of phytoplankton and 12% of prokaryote experiments. Growth and grazing rates for both phytoplankton and prokaryotes were tightly coupled inshore and on the shelf, with significantly more phytoplankton and prokaryotes grazed inshore (average = 106% and 75%, respectively) than on the shelf (average = 55% and 57%). These findings indicate that surface waters across the estuary are highly productive, with microzooplankton grazing transferring the majority of the microbial production to higher trophic levels.
        purpose:  These experiments were designed to determine the relative roles of grazing and viral lysis on the microbial communities in Mobile Bay, Alabama
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                    date:  2014-04-15
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              Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/datatype/details/533 BIOMASS
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                title:  A. C. Ortmann, R. C. Metzger, J. D. Liefer, and L. Novoveska. 2011. Grazing and viral lysis vary for different components of the microbial community across an estuarine gradient. Aquatic Microbial Ecology 65:143-157
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                title:  N. Ortell and A. C. Ortmann (2014) Interactions among members of the microbial loop in an estuary dominated by microzooplankton grazing. Aquatic Microbial Ecology 72:63-71
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                title:  A. C. Ortmann and N. Ortell (2014) Changes in free-living bacterial community diversity reflect the magnitude of environmental variability. FEMS Microbiology Ecology 87:291-301
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        supplementalInformation:  PI: Dr. Alice Ortmann This data was collected with the FOCAL (Fisheries Oceanography of Coastal Alabama) program. More information about FOCAL can be found at http://focal.disl.org/ This data has been used in the following peer-reviewed publications: A. C. Ortmann, R. C. Metzger, J. D. Liefer, and L. Novoveska. 2011. Grazing and viral lysis vary for different components of the microbial community across an estuarine gradient. Aquatic Microbial Ecology 65:143-157. N. Ortell and A. C. Ortmann (2014) Interactions among members of the microbial loop in an estuary dominated by microzooplankton grazing. Aquatic Microbial Ecology 72:63-71. A. C. Ortmann and N. Ortell. (2014) Changes in free-living bacterial community diversity reflect the magnitude of environmental variability. FEMS Microbiology Ecology 87:291-301.
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                fees:  In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
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                description:  NCEI Accession 0117507 v1.1 was published.
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                  DateTime:  2014-04-21T15:36:08Z
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                description:  NOAA created the National Centers for Environmental Information (NCEI) by merging NOAA's National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC), and National Oceanographic Data Center (NODC), including the National Coastal Data Development Center (NCDDC), per the Consolidated and Further Continuing Appropriations Act, 2015, Public Law 113-235. NCEI launched publicly on April 22, 2015.
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            description:  any type of water bottle sampling device Generic name for water collection device; usually used to determine temperature, salinity and provide water aliquots for measurement of a wide range of parameters; often referred to by a specific type of water sampling bottle, such as a Nansen or Niskin bottle.
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            description:  A method to enumerate bacterial and phytoplankton cells in seawater and estimate their spherical diameter Flow cytometers are laboratory based instruments used to measure cells and particles from aqueous samples. The instrument was initially developed for analysis of Human blood cells for medical purposes, but this technology was adopted by the ocean science community by several investigators, principally Penny Chischolm out of the Massachusetts Institute of Technology, in late 20th century. Since then, the technique has been broadly applied, and it is a unique measurement of microbial populations in the ocean because it provides one at a time measures of cells, to extrapolate features such as fluorescence and cell size. Flow cytometers have been adapted for a number of oceanographic applications such as ship board measurement, and more precise measurement of planktonic fractions. Additionally, the flow cytometer has been adapted for in-situ deployment (see the corresponding nodc instrument code).
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